Sahand Mozaffari
Machine Learning Engineer at Walgreens
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolSahand Mozaffari is a Machine Learning Engineer with 12 years of experience building and deploying large-scale ML systems, currently working on demand prediction at Walgreens to minimize working capital while preserving service levels. He has driven production-grade deep learning efforts at Microsoft, engineering efficient web-page representation models and a high-performance distributed training pipeline that trained models six times larger than before. At Google he developed robust cross-data attention models and data-cleaning frameworks that dramatically improved dataset quality under extreme label noise. His background blends rigorous academic research from UIUC with hands-on engineering—spanning computer vision, NLP, and systems automation—so he comfortably moves models from prototype to production. Based in Seattle, he combines algorithmic depth with cost-conscious, scalable implementations, and has a knack for getting better performance with less compute and budget.
12 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Illinois Urbana-ChampaignBachelor's degree Mathematics, Bachelor's degree Mathematics at Sharif University of Technology
English
Github Skills (7)
python10
ansible9
ssh9
automation8
devops8
infrastructure-as-code7
network-configuration6
Programming languages (1)
Github contributions (5)
sahand-mozaffari/SharifCalendar
Jun 2013 - Jul 2013
Contributions:29 commits in 21 days
behnamhatami/CCCG2015
Apr 2015 - Feb 2025
Contributions:8 pushes, 1 comment in 9 years 11 months
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